stable-diffusion-image-generation
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
npx skills add Orchestra-Research/AI-Research-SKILLs --skill stable-diffusion --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Stable Diffusion Image Generation Comprehensive guide to generating images with Stable Diffusion using the HuggingFace Diffusers library. ## When to use Stable Diffusion **Use Stable Diffusion when:** - Generating images from text descriptions - Performing image-to-image translation (style transfer, enhancement) - Inpainting (filling in masked regions) - Outpainting (extending images beyond boundaries) - Creating variations of existing images - Building custom image generation workflows **Key features:** - **Text-to-Image**: Generate images from natural language prompts - **Image-to-Image**: Transform existing images with text guidance - **Inpainting**: Fill masked regions with context-aware content - **ControlNet**: Add spatial conditioning (edges, poses, depth) - **LoRA Support**: Efficient fine-tuning and style adaptation - **Multiple Models**: SD 1.5, SDXL, SD 3.0, Flux support **Use alternatives instead:** - **DALL-E 3**: For API-based generation without GPU - **Midjourney**: For artistic, stylized outputs - **Imagen**: For Google Cloud integration - **Leonardo.ai**: For web-based creative workflows ## Quick start ### Installation ```bash pip install diffusers transformers a
- When to use Stable Diffusion
- Quick start
- Installation
- Basic text-to-image
- Using SDXL (higher quality)
- Architecture overview
- Three-pillar design
- Pipeline inference flow
- Core concepts
- Pipelines
- Schedulers
- Swapping schedulers
- Generation parameters
- Key parameters
pip install diffusers transformers accelerate torch pip install xformers # Optional: memory-efficient attention
What does the stable-diffusion-image-generation skill do?
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.
How do I install it?
Run `npx skills add Orchestra-Research/AI-Research-SKILLs --skill stable-diffusion --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Orchestra-Research/AI-Research-SKILLs, a repository with 11,391 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.